Atlas Cloud

Generate audio — text-to-speech (TTS) AND music generation — using Atlas Cloud API. This covers both TTS/voice models and music/song models. The live catalog determines which models are currently available. This tool submits the generation request and returns immediately with a prediction ID. Use atlas_get_prediction to check the result later. Billing is gated by cost, not by ceremony. Call once, omitting confirmation_token. The server quotes the request against the live catalog: under the spend limit it submits immediately and the result tells you what was charged — report that amount to the user. At or above the limit, or whenever the platform will not give a firm quote, it returns a quote and an opaque confirmation_token without spending anything; show that exact quote and stop, and only after a new user message explicitly confirms it may you call again with the same idempotency_key, unchanged arguments, and confirmation_token. Parameters are validated against the model's schema BEFORE the request is submitted: if a parameter is missing, has the wrong type, or is not accepted, the tool returns a precise error and does NOT spend credits. IMPORTANT: The "model" parameter requires an exact current model ID. If you don't know it, first call atlas_list_models with type="Audio". Do NOT guess model IDs. NOTE: For speech-to-text (transcription / ASR), use atlas_transcribe_audio instead. You should also use atlas_get_model_info to see the full parameter list and schema for your chosen audio model before calling this tool. Different models accept different params (voice/speaker IDs, format, sample rate, speed, lyrics, style tags, etc.). Args: - model (string, required): The exact audio model ID. Use atlas_list_models with type="Audio" to find valid IDs. - params (object, required): Model-specific parameters as a JSON object. For TTS the main field is usually "text" (the content to synthesize); for music models it is usually "prompt" and/or "lyrics". Use atlas_get_model_info to see available params. Returns: A prediction ID to check the result with atlas_get_prediction. The output is an audio file URL.

atlas_generate_audio

Generate an image using Atlas Cloud API. This also covers image-to-3D and text-to-3D models (they are Image-type models that return 3D files such as GLB/OBJ/USDZ). This tool submits the generation request and returns immediately with a prediction ID. Use atlas_get_prediction to check the result later. Billing is gated by cost, not by ceremony. Call once, omitting confirmation_token. The server quotes the request against the live catalog: under the spend limit it submits immediately and the result tells you what was charged — report that amount to the user. At or above the limit, or whenever the platform will not give a firm quote, it returns a quote and an opaque confirmation_token without spending anything; show that exact quote and stop, and only after a new user message explicitly confirms it may you call again with the same idempotency_key, unchanged arguments, and confirmation_token. Parameters are validated against the model's schema BEFORE the request is submitted: if a parameter is missing, has the wrong type, or is not accepted, the tool returns a precise error and does NOT spend credits. IMPORTANT: The "model" parameter requires an exact current model ID. If you don't know it, first call atlas_list_models with type="Image". Do NOT guess model IDs. You should also use atlas_get_model_info to understand what parameters a specific image model accepts before calling this tool. Args: - model (string, required): The exact image model ID. Use atlas_list_models to find valid IDs. - params (object, required): Model-specific parameters as a JSON object. Each model has different parameters defined in its schema. Common params include "prompt", "image_size", "num_inference_steps", etc. For image-to-3D models, "image" is required. Use atlas_get_model_info to see the full parameter list for your chosen model. Returns: A prediction ID to check the result with atlas_get_prediction.

atlas_generate_image

Generate a video using Atlas Cloud API. This tool submits the generation request and returns immediately with a prediction ID. Use atlas_get_prediction to check the result later. Billing is gated by cost, not by ceremony. Call once, omitting confirmation_token. The server quotes the request against the live catalog: under the spend limit it submits immediately and the result tells you what was charged — report that amount to the user. At or above the limit, or whenever the platform will not give a firm quote, it returns a quote and an opaque confirmation_token without spending anything; show that exact quote and stop, and only after a new user message explicitly confirms it may you call again with the same idempotency_key, unchanged arguments, and confirmation_token. Parameters are validated against the model's schema BEFORE the request is submitted: if a parameter is missing, has the wrong type, or is not accepted, the tool returns a precise error and does NOT spend credits. IMPORTANT: The "model" parameter requires an exact current model ID. If you don't know it, first call atlas_list_models with type="Video". Do NOT guess model IDs. You should also use atlas_get_model_info to see the full parameter list and schema for your chosen video model before calling this tool. Args: - model (string, required): The exact video model ID. Use atlas_list_models to find valid IDs. - params (object, required): Model-specific parameters as a JSON object. Parameters vary by model - use atlas_get_model_info to see available params. Common ones include: - "prompt" (string): Text description of the video - "image_url" (string): Source image for image-to-video models - "duration" (number): Video duration in seconds - "aspect_ratio" (string): e.g., "16:9", "9:16" Returns: A prediction ID to check the result with atlas_get_prediction. Video generation typically takes 1-5 minutes.

atlas_generate_video

Get the current Atlas Cloud account balance and credit summary for the authenticated API key. Returns available balance, cash, bonus, frozen amount, and credit grant status. Args: None. Examples: - (no params) -> current account balance

atlas_get_balance

Get daily model cost buckets (spend amount) for the authenticated API key over a UTC date range. Omitting group_by returns total daily buckets. Use group_by to break costs down by model_type and/or model. API-key identifiers are not exposed by this plugin. Args: - start_date (string, required): Inclusive UTC start date, YYYY-MM-DD. - end_date (string, required): Exclusive UTC end date, YYYY-MM-DD (range <= 180 days). - scope (string, optional): "self" (default) or "account". - group_by (array, optional): Any of "model_type", "model". - model_types (array, optional): Filter by model type, e.g. ["text","image"]. - model_ids (array, optional): Filter by model ID (<= 100). - limit (number, optional): Max grouped rows (1-100, default 100). - page (string, optional): Pagination cursor from a previous next_page. Examples: - start_date="2026-06-01", end_date="2026-07-01" - start_date="2026-06-01", end_date="2026-07-01", group_by=["model"]

atlas_get_model_costs

Get detailed information about a specific Atlas Cloud model, including API documentation, input/output schema, pricing, and usage examples. This tool fetches the model's OpenAPI schema and generates comprehensive API documentation with cURL examples. Args: - model (string): An exact current model ID returned by atlas_list_models. Returns: Markdown-formatted model details including: - Model metadata (type, provider, context length, etc.) - Pricing information - Full API input/output schema with parameter descriptions - Required and optional parameters with defaults - cURL usage examples - Playground link

atlas_get_model_info

Get daily model usage buckets (requests, tokens, image/video counts) for the authenticated API key over a UTC date range. Omitting group_by returns total daily buckets. Use group_by to break usage down by model_type and/or model. API-key identifiers are not exposed by this plugin. Args: - start_date (string, required): Inclusive UTC start date, YYYY-MM-DD. - end_date (string, required): Exclusive UTC end date, YYYY-MM-DD (range <= 180 days). - scope (string, optional): "self" (default) or "account". - group_by (array, optional): Any of "model_type", "model". - model_types (array, optional): Filter by model type, e.g. ["text","image"]. - model_ids (array, optional): Filter by model ID (<= 100). - limit (number, optional): Max grouped rows (1-100, default 100). - page (string, optional): Pagination cursor from a previous next_page. Examples: - start_date="2026-06-01", end_date="2026-06-08" - start_date="2026-06-01", end_date="2026-07-01", group_by=["model"]

atlas_get_model_usage

Check the status and result of an image/video generation task. Use this after submitting a generation request to check if the result is ready. If the status is still "processing" or "starting", wait a moment and try again. When the result is ready (status is "completed" or "succeeded"), the output URLs are returned, and any image is also attached as an image block. You should then: 1. Present the image to the user. Any image is also attached as an image block; whether that block is displayed is up to the client, so do not assume the user has already seen it. 2. Give the URL, and offer to download it (curl or wget send no Referer, so they work even on buckets that refuse a click from the chat). Args: - prediction_id (string, required): The prediction ID returned from a generation request Returns: The current status and output of the generation task. Examples: - prediction_id="pred_abc123" -> check generation status

atlas_get_prediction

List available models on Atlas Cloud, optionally filtered by type, in bounded pages. Args: - type (string, optional): Filter by model type. Options: "Text", "Image", "Video", "Audio" - limit (integer, optional): Models per page, 1-100 (default 50) - offset (integer, optional): Zero-based result offset (default 0) Returns: Markdown-formatted list of models grouped by type, including model ID, description, provider, and pricing. Note: image-to-3D and text-to-3D models are Image-type models (filter with type="Image"). Audio-type models (filter with type="Audio") include text-to-speech / TTS, music generation (e.g., Suno, MiniMax Music), and speech-to-text / ASR (e.g., Seed ASR). Lipsync / talking-avatar models are Video-type models. Examples: - No params -> list all models - type="Image" -> list only image generation models (includes 3D) - type="Video" -> list only video generation models (includes lipsync / talking-avatar) - type="Text" -> list only LLM/text models - type="Audio" -> list only audio models (TTS, music generation, speech-to-text/ASR)

atlas_list_models

Two-step image, video, or audio generation - automatically finds exactly one model by keyword, fetches its schema, builds and validates parameters, then returns a quote before any billable submission. Covers all generation tasks: text-to-image, image editing, 3D (image/text-to-3D), text/image-to-video, lipsync & talking-avatar (video + audio_url), TTS, and music generation. Parameters are validated against the model's schema BEFORE submitting. If extra_params contains fields the model does not accept (or wrong values), the tool returns a precise error and does NOT spend credits. Billing is gated by cost, not by ceremony. Call once, omitting confirmation_token. The server quotes the request against the live catalog: under the spend limit it submits immediately and the result tells you what was charged — report that amount to the user. At or above the limit, or whenever the platform will not give a firm quote, it returns a quote and an opaque confirmation_token without spending anything; show that exact quote and stop, and only after a new user message explicitly confirms it may you call again with the same idempotency_key, unchanged arguments, and confirmation_token. IMPORTANT: If this tool fails to find a model, call atlas_list_models first to get the exact model list, then use atlas_generate_image / atlas_generate_video / atlas_generate_audio with the exact model ID instead. Do NOT invent extra_params - only pass parameters you know the model accepts (check atlas_get_model_info). The tool searches for models by keyword matching against model ID, display name, and tags. After getting the prediction ID, use atlas_get_prediction to check the result. Args: - model_keyword (string, required): Prefer an exact current model ID returned by atlas_list_models; otherwise use a distinctive display-name keyword. - type (string, required): Generation type: "Image", "Video", or "Audio" - prompt (string, required): Text description of what to generate (for TTS, the text to synthesize; for music, the song description) - image_url (string, optional): Source image URL for image-to-video, image editing, image-to-3D, or talking-avatar models - audio_url (string, optional): Source audio URL for lipsync / talking-avatar video models (the speech the character should say) or speech-to-text models - extra_params (object, optional): Additional model-specific parameters to override defaults (e.g., {"duration": 10, "aspect_ratio": "16:9"}). Only include parameters the model's schema accepts. Returns: A prediction ID to check the result with atlas_get_prediction.

atlas_quick_generate